We analyze the performance of kernel density methods applied to grouped data to estimate poverty (as applied in Sala-i-Martin, 2006, QJE). Using Monte Carlo simulations and household surveys, we find ...

We present a new adaptive kernel density estimator based on linear diffusion processes. The proposed estimator builds on existing ideas for adaptive smoothing by incroporating information from a pilot ...

We consider kernel-type methods for the estimation of a density on [0, 1] which eschew explicit boundary correction. We propose using kernels that are symmetric in their two arguments; these kernels ...